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ICPR
2002
IEEE
16 years 8 months ago
A Neural Network Classifier for Occluded Images
This paper proposes a neural network classifier which can automatically detect the occluded regions in the given image and replace that regions with the estimated values. An auto-...
Takio Kurita, Takashi Takahashi, Yukifumi Ikeda
ICPR
2000
IEEE
16 years 8 months ago
Image Recognition on the Neural Network Based on Multi-Valued Neurons
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
Igor N. Aizenberg, Naum N. Aizenberg, Constantine ...
CIBCB
2008
IEEE
16 years 1 months ago
Classification of mouse fRNA genes using evolved neural networks
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Mars Cheung, Gary B. Fogel
IROS
2007
IEEE
94views Robotics» more  IROS 2007»
16 years 1 months ago
Two-way translation of compound sentences and arm motions by recurrent neural networks
- We present a connectionist model that combines motions and language based on the behavioral experiences of a real robot. Two models of recurrent neural network with parametric bi...
Tetsuya Ogata, Masamitsu Murase, Jun Tani, Kazunor...
ICANN
2007
Springer
16 years 1 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...